Teams

Eastern/Sosa/18&Over3.5W

2026 18&Over Women · 3.5

20 players · average NTRP 3.39 / NEW JERSEY REGION

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule5 played
2026-07-11vs 40 LuvWon 20
W#2 DoublesDonna Zitelli / Jamie Luo vs Earnecia Hasben-Powers / Sue Kim6-0, 6-3
W#3 DoublesMaria Velazquez / Alexandra Pires vs Sharon Muenster / Amy Devico6-2, 6-2
2026-05-30vs DVB AcesWon 10
W#2 DoublesDonna Zitelli / Addie Malicsi vs Shana Baer / Ingrid Floyd6-0, 6-4
2026-05-16vs 40 LuvWon 20
W#2 DoublesJamie Luo / Diana Moshak vs Lisa Davis / Tina Gee-Ng6-1, 6-2
W#3 DoublesChristiane Mahoney / Donna Zitelli vs Amy Devico / Manisha Degaonkar6-0, 6-3
2026-05-09vs Life is GoodLost 01
L#3 DoublesDonna Zitelli / Mary McAnally vs Yulin Liu / Yijia Feng4-6, 3-6
2026-05-02vs DVB AcesLost 01
L#2 DoublesJamie Luo / Donna Zitelli vs Tammy Fighera / Brigette Elaina Brooks4-6, 5-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.22 estimated across 18 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.68
Monica Rodriguez
usually #1 Singles 73%, also #1 Doubles 18% · published
3.57
Jamie Luo
usually #1 Singles 40%, also #2 Doubles 20% · published 3.5
3.56
Daniela Nera
usually #1 Doubles 30%, also #1 Singles 20% · published 3.5
3.51
Addie Malicsi
usually #2 Doubles 56%, also #1 Doubles 22% · published 3.5
3.37
Mitali Baberwal
usually #2 Singles 38%, also #1 Singles 25% · published
3.36
Kathy Shin
usually #2 Doubles 50%, also #3 Doubles 30% · published 3.5
3.34
Maya Ahmed
usually #1 Doubles 55%, also #2 Doubles 27% · published
3.33
Kathleen Schnell
usually #1 Doubles 33%, also #2 Singles 33% · published
3.31
Christina Lun
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.20
Ana Mercado
usually #1 Doubles 50%, also #1 Singles 19% · published 3.5
3.15
Diana Moshak
usually #2 Doubles 100% · published 3
3.12
Alexandra Pires
usually #3 Doubles 100% · published 3.5
3.08
Litao Mai
usually #3 Doubles 60%, also #2 Singles 20% · published
3.05
Christiane Mahoney
usually #3 Doubles 43%, also #1 Doubles 43% · published 3
3.04
Maria Velazquez
usually #1 Doubles 54%, also #2 Doubles 23% · published
3.01
Jennifer Hughes
usually #3 Doubles 39%, also #1 Doubles 39% · published
2.89
Donna Zitelli
usually #2 Doubles 43%, also #3 Doubles 29% · published
2.36
Virmar Sosa
usually #3 Doubles 50%, also #2 Doubles 25% · published
Mary McAnally
usually #3 Doubles 100% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Kathy Shin + Addie Malicsi5157% games+7.8% vs expected
Maria Velazquez + Jennifer Hughes19856% games+7.8% vs expected
Maya Ahmed + Daniela Nera2349% games−3.4% vs expected
Maya Ahmed + Ana Mercado123 matchesnot enough data
Christina Lun + Virmar Sosa033 matchesnot enough data
Ana Mercado + Jennifer Hughes303 matchesnot enough data
Kathy Shin + Daniela Nera303 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

Monica Rodriguez
32W–17L career · 11 lines in 2026
<1%10%90%
3.68
3.5
Jamie Luo
66W–42L career · 14 lines in 2026
<1%30%70%
3.57
3.5
Daniela Nera
42W–27L career · 9 lines in 2026
<1%34%66%
3.56
3.5
Addie Malicsi
25W–15L career · 9 lines in 2026
<1%48%52%
3.51
Mitali Baberwal
18W–21L career · 7 lines in 2026
<1%82%18%
3.37
3.5
Kathy Shin
38W–52L career · 10 lines in 2026
1%84%16%
3.36
Maya Ahmed
10W–9L career · 11 lines in 2026
1%87%13%
3.34
Kathleen Schnell
8W–16L career · 8 lines in 2026
1%88%11%
3.33
3.5
Christina Lun
12W–23L career · 8 lines in 2026
1%90%9%
3.31
3.5
Ana Mercado
25W–17L career · 16 lines in 2026
8%91%2%
3.20
3
Diana Moshak
4W–1L career · type S · 1 line in 2026
<1%13%87%
3.15
3.5
Alexandra Pires
6W–3L career · type D · 1 line in 2026
20%80%<1%
3.12
Litao Mai
20W–16L career · 5 lines in 2026
28%72%<1%
3.08
3
Christiane Mahoney
64W–80L career · 14 lines in 2026
<1%37%63%
3.05
Maria Velazquez
43W–41L career · 13 lines in 2026
<1%39%61%
3.04
Jennifer Hughes
47W–20L career · 13 lines in 2026
<1%46%54%
3.01
Donna Zitelli
9W–9L career · 7 lines in 2026
<1%79%21%
2.89
Virmar Sosa
9W–45L career · 12 lines in 2026
0%84%16%
2.36
Jill Gottlieb-Wilson
15W–10L career · no lines in 2026
not enough data
Mary McAnally
1W–1L career · 2 lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.